Lighting Up Live-Cell and In Vivo Central Carbon Metabolism with Genetically Encoded Fluorescent Sensors.
Lighting Up Live-Cell and In Vivo Central Carbon Metabolism with Genetically Encoded Fluorescent Sensors.
复制标题
用基因编码荧光传感器点亮活细胞和体内中心碳代谢
DOI：
10.1146/annurev-anchem-091619-091306
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发表时间：
2020-03
期刊：
影响因子：
--
通讯作者：
Yang Yi
中科院分区：
文献类型：
--
作者：
Zhang Zhuo;Cheng Xiawei;Zhao Yuzheng;Yang Yi
作为细胞代谢的核心组成部分，由糖酵解、戊糖磷酸途径和三羧酸循环组成的中心碳代谢将营养物质转化为生物质和能量的代谢前体，以维持几乎所有现存物种的生命。中心碳代谢中的代谢物水平或分布经常随细胞命运、发育和疾病进展而动态变化。然而，传统的生物化学方法需要细胞裂解，这使得获得活细胞和体内代谢物的时空信息具有挑战性。遗传编码荧光传感器可以快速、灵敏、特异和实时地读出活生物体中的代谢物动态，从而有可能填补当前技术中的差距。本文综述了近年来基因编码的中心碳代谢荧光传感器的研究进展，并讨论了它们的优缺点和应用前景。最后，展望了代谢物传感器的发展方向.分析化学年度评论第13卷的预计最终在线出版日期为2020年6月12日。请访问http://www.annualreviews.org/page/journal/pubdates了解修订后的估计数。
As the core component of cell metabolism, central carbon metabolism, consisting of glycolysis, the pentose phosphate pathway, and the tricarboxylic acid cycle converts nutrients into metabolic precursors for biomass and energy to sustain the life of virtually all extant species. The metabolite levels or distributions in central carbon metabolism often change dynamically with cell fates, development, and disease progression. However, traditional biochemical methods require cell lysis, making it challenging to obtain spatiotemporal information about metabolites in living cells and in vivo. Genetically encoded fluorescent sensors allow the rapid, sensitive, specific, and real-time readout of metabolite dynamics in living organisms, thereby offering the potential to fill the gap in current techniques. In this review, we introduce recent progress made in the development of genetically encoded fluorescent sensors for central carbon metabolism and discuss their advantages, disadvantages, and applications. Moreover, several future directions of metabolite sensors are also proposed. Expected final online publication date for the Annual Review of Analytical Chemistry, Volume 13 is June 12, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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影响因子：
64.5
作者：
López-Otín C;Blasco MA;Partridge L;Serrano M;Kroemer G
通讯作者：
Kroemer G
影响因子：
15.9
作者：
Mergenthaler P;Lindauer U;Dienel GA;Meisel A
通讯作者：
Meisel A
DOI：
10.3390/molecules22030494
发表时间：
2017-03-21
期刊：
Molecules (Basel, Switzerland)
影响因子：
--
作者：
Zhao X;Jiang J;Yang G;Huang J;Yang G;He G;Chu Z;Hang T;Fan G
通讯作者：
Fan G
影响因子：
3.7
作者：
Gruenwald K;Holland JT;Stromberg V;Ahmad A;Watcharakichkorn D;Okumoto S
通讯作者：
Okumoto S
影响因子：
5.3
作者：
Al-Khafaji, Mohammed A.;Gaal, Aniko;Jezso, Balint;Mihaly, Judith;Bartczak, Dorota;Goenaga-Infante, Heidi;Varga, Zoltan
通讯作者：
Varga, Zoltan